Here is a list of all the essential tools and skills required to become a Data Analyst
Data Analysis and Visualization:
- Microsoft Excel: Essential for data manipulation, analysis, and basic modelling.
- SQL (Structured Query Language): Crucial for querying databases and extracting data for analysis.
- Tableau or Power BI: Powerful tools for creating interactive dashboards and visualizing data.
Programming and Data Manipulation:(Optional)
- Python: Used for data manipulation, scripting, and automation.
- R: Useful for statistical computing, data visualization, and basic analytics.
Statistical Analysis:
- Statistical Software (SPSS, SAS): Tools for advanced statistical analysis and modelling. (Optional)
- Advanced Excel Functions: Proficiency in pivot tables, VLOOKUP, statistical functions, and data cleaning techniques.
Project Management and Collaboration:(Optional)
- Jira or Trello: Tools for project management, task tracking, and collaboration.
- Confluence or SharePoint: Platforms for documentation, collaboration, and knowledge sharing.
Business Process Management:(Optional)
- Business Process Modeling Tools (Visio, Lucidchart): Used for modelling, analyzing, and optimizing business processes.
Additional Skills:
- Google Analytics: Important for understanding website traffic and user behaviour. (Optional)
- CRM Systems (Salesforce, HubSpot): Knowledge of these systems aids in analyzing sales data and customer interactions.(Optional)
- Version Control (Git): Helps manage changes in analytical projects and ensures versioning control. (Optional)
Data Warehousing and Database Management:
- Data Warehousing (Amazon Redshift, Google BigQuery): Knowledge of these platforms for handling large-scale datasets and optimizing queries. (Optional)
Soft Skills:
- Communication: Clear and concise communication of findings and recommendations.
- Problem-Solving & Critical Thinking: Ability to analyze complex problems and derive actionable insights.
